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text-selection

Command-line interface (CLI) to select lines of a text file.

  • 0.0.3
  • PyPI
  • Socket score

Maintainers
1

text-selection

PyPI PyPI MIT PyPI PyPI PyPI DOI

Command-line interface (CLI) to select lines of a text file.

Features

  • dataset
    • create: create a dataset based on a text file
    • export-statistics: exporting statistics to a CSV
  • subsets
    • add: add subsets
    • remove: remove subsets
    • rename: rename subset
    • select-all: select all lines
    • select-fifo: select lines FIFO-style
    • select-greedily: select lines greedily regarding units
    • select-greedily-ep: select lines greedily regarding units (epoch-based)
    • select-uniformly: select lines with units uniformly distributed
    • select-randomly: select lines randomly
    • filter-duplicates: filter duplicate lines
    • filter-by-regex: filter lines by regex
    • filter-by-text: filter lines by text
    • filter-by-weight: filter lines by weight
    • filter-by-vocabulary: filter lines by unit vocabulary
    • filter-by-count: filter lines by global unit frequencies
    • filter-by-unit-freq: filter lines by unit frequencies per line
    • filter-by-line-nr: filter lines by line number
    • sort-by-line-nr: sort lines by line number
    • sort-by-text: sort lines by text
    • sort-by-weight: sort lines by weights
    • sort-by-shuffle: shuffle lines
    • reverse: reverse lines
    • export: export lines
  • weights
    • create-from-file: create weights from file
    • create-uniform: create uniform weights
    • create-from-count: create weights from unit count
    • divide: divide weights

Roadmap

  • add tests
  • refactoring
  • outsourcing greedy- and KLD-iterator

Installation

pip install text-selection --user

Usage

usage: text-selection-cli [-h] [-v] {dataset,subsets,weights} ...

CLI to select lines of a text file.

positional arguments:
  {dataset,subsets,weights}  description
    dataset                  dataset commands
    subsets                  subsets commands
    weights                  weights commands

optional arguments:
  -h, --help                 show this help message and exit
  -v, --version              show program's version number and exit

Dependencies

  • tqdm
  • numpy
  • scipy
  • pandas
  • ordered_set>=4.1.0

Contributing

If you notice an error, please don't hesitate to open an issue.

Development setup

# update
sudo apt update
# install Python 3.8, 3.9, 3.10 & 3.11 for ensuring that tests can be run
sudo apt install python3-pip \
  python3.8 python3.8-dev python3.8-distutils python3.8-venv \
  python3.9 python3.9-dev python3.9-distutils python3.9-venv \
  python3.10 python3.10-dev python3.10-distutils python3.10-venv \
  python3.11 python3.11-dev python3.11-distutils python3.11-venv
# install pipenv for creation of virtual environments
python3.8 -m pip install pipenv --user

# check out repo
git clone https://github.com/stefantaubert/text-selection.git
cd text-selection
# create virtual environment
python3.8 -m pipenv install --dev

Running the tests

# first install the tool like in "Development setup"
# then, navigate into the directory of the repo (if not already done)
cd text-selection
# activate environment
python3.8 -m pipenv shell
# run tests
tox

Final lines of test result output:

  py38: commands succeeded
  py39: commands succeeded
  py310: commands succeeded
  py311: commands succeeded
  congratulations :)

License

MIT License

Acknowledgments

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410

Citation

If you want to cite this repo, you can use this BibTeX-entry generated by GitHub (see About => Cite this repository).

Changelog

  • v0.0.3 (2023-05-30)
    • Changed
      • Improved speed for filtering OOV/IV words by up to ~20k words/s
    • Added
      • Added subsets select-randomly
      • Added subsets sort-by-shuffle
      • Added subsets add option --skip-existing
    • Bugfix
      • Fixed evaluation of "from subsets" to ensure that the subsets exist
      • Fixed subsets remove didn't worked
  • v0.0.2 (2023-01-13)
    • Added
      • Added creation of weights from lines
      • Add --limit to select duplicates
      • Add exit code
    • Changed
      • Set --limit positional where applicable
      • Don't output expected warning from numpy on KLD selection
    • Bugfixes
  • v0.0.1 (2022-05-25)
    • Initial release

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